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Radiomics-based T-staging of hollow organ cancers.

Authors :
Dong Huang
Xiaopan Xu
Peng Du
Yuefei Feng
Xi Zhang
Hongbing Lu
Yang Liu
Source :
Frontiers in Oncology; 2023, p1-7, 7p
Publication Year :
2023

Abstract

Cancer growing in hollow organs has become a serious threat to human health. The accurate T-staging of hollow organ cancers is a major concern in the clinic. With the rapid development of medical imaging technologies, radiomics has become a reliable tool of T-staging. Due to similar growth characteristics of hollow organ cancers, radiomics studies of these cancers can be used as a common reference. In radiomics, feature-based and deep learning-based methods are two critical research focuses. Therefore, we review feature-based and deep learning-based T-staging methods in this paper. In conclusion, existing radiomics studies may underestimate the hollow organ wall during segmentation and the depth of invasion in staging. It is expected that this survey could provide promising directions for following research in this realm. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
2234943X
Database :
Complementary Index
Journal :
Frontiers in Oncology
Publication Type :
Academic Journal
Accession number :
171933730
Full Text :
https://doi.org/10.3389/fonc.2023.1191519